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Practical guide

How to make your product available in ChatGPT and Claude

A customer may start work in an AI conversation before opening another website. This guide shows how to expose one useful product job there without confusing connection with discovery, giving away broad authority, or building a different product for every AI client.

Map one AI interaction

Before you read

What gets published

You leave with a six-part plan for one useful connection: the customer job, the actions and answers, sign-in, client support, trust controls, and a small pilot.

Best for

Founders and product owners whose customers already draft, research, plan, or ask for help in ChatGPT or Claude.

Where the work happens

ChatGPT · Claude · Product access · MCP

01

The interaction shift

  • The change is not that every product needs a chat box. The important shift is that customers increasingly begin a job inside an AI application and prefer products they can reach without breaking that flow. Being connectable can remove a copy-and-paste step, but it does not guarantee ranking, installation, approval, or use. Your website and normal product interface still matter.
02

Pick one customer job

  • Choose one moment with obvious value: check an order, compare an approved offer, create a task, retrieve a policy, or prepare a draft from owned material. Write down what the person asks, what the product must read, what it may change, and what success looks like. A vague goal such as ‘put our company in AI’ creates a menu of weak tools instead of a useful product interaction.
03

Design the product contract

  • Expose a small, stable contract. Give each read or action a plain name, only the fields it needs, useful errors, and a meaningful text or structured fallback. Keep the same product identity, business rule, and authorization behind the website and AI clients. Where a visual table, form, chart, or board adds real understanding, use the client’s supported interactive surface; do not hide the result in decorative prose.
04

Connection is not distribution

  • ChatGPT and Claude do not offer identical connection paths to every account, plan, organization, region, or administrator. Support changes over time. Confirm the current client documentation, transport, authentication, review, and publication route before promising availability. A working remote endpoint proves a technical connection; it does not prove that a public directory will list it or that every customer can install it.
05

Keep trust at the boundary

  • Sign in the real user and enforce the product’s own permissions on every request. Separate read actions from writes, ask for confirmation before sending, buying, deleting, or publishing, record who acted, cap returned context, and provide revocation. Treat instructions returned by external content as data, not as new authority. The AI client can help a user decide, but the owning service must remain the final gate.
06

Run a useful pilot

  • Run a thirty-day pilot with one audience and one job. Measure successful completions, corrections, refused unsafe requests, time saved, and where people abandon the flow—not vanity chat volume. Interview users who went back to the website. Keep the connection if it shortens the real job; narrow or remove it if it only adds another place to maintain the same menu.

Solutions

Hosted MCP server for an AI agent you own

Publish the Agent to its own HTTPS host and use its stable /mcp endpoint with OAuth-first access or an explicit scoped API-key alternative.

Map one AI interactionSee the solution

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Solutions

Move the Agent endpoint out of the local tunnel

Tell us the Agent, tools, target clients, and required access model. We will help you define the hosted MCP path and its real compatibility checks.

Map one AI interactionSee the solution